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09/13/2023
Collectionless Artificial Intelligence
By and large, the professional handling of huge data collections is rega...
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06/05/2023
Continual Learning with Pretrained Backbones by Tuning in the Input Space
The intrinsic difficulty in adapting deep learning models to non-station...
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10/17/2022
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks
In this paper, we present PARTIME, a software library written in Python ...
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09/19/2022
Concept Embedding Models
Deploying AI-powered systems requires trustworthy models supporting effe...
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08/08/2022
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors
Nondestructive testing (NDT) is widely applied to defect identification ...
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06/30/2022
Deep Learning to See: Towards New Foundations of Computer Vision
The remarkable progress in computer vision over the last few years is, b...
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04/26/2022
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
Devising intelligent agents able to live in an environment and learn by ...
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12/18/2021
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
Amongst a variety of approaches aimed at making the learning procedure o...
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10/12/2021
Can machines learn to see without visual databases?
This paper sustains the position that the time has come for thinking of ...
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09/17/2021
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects
In the last few years, the scientific community showed a remarkable and ...
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09/16/2021
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
Continual learning refers to the ability of humans and animals to increm...
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08/11/2021
Logic Explained Networks
The large and still increasing popularity of deep learning clashes with ...
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06/21/2021
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier
In the last decade, motivated by the success of Deep Learning, the scien...
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06/12/2021
Entropy-based Logic Explanations of Neural Networks
Explainable artificial intelligence has rapidly emerged since lawmakers ...
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02/08/2021
Generate and Revise: Reinforcement Learning in Neural Poetry
Writers, poets, singers usually do not create their compositions in just...
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09/15/2020
Gravitational Models Explain Shifts on Human Visual Attention
Visual attention refers to the human brain's ability to select relevant ...
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09/01/2020
Developing Constrained Neural Units Over Time
In this paper we present a foundational study on a constrained method th...
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07/16/2020
SAILenv: Learning in Virtual Visual Environments Made Simple
Recently, researchers in Machine Learning algorithms, Computer Vision sc...
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06/19/2020
Wave Propagation of Visual Stimuli in Focus of Attention
Fast reactions to changes in the surrounding visual environment require ...
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06/16/2020
Focus of Attention Improves Information Transfer in Visual Features
Unsupervised learning from continuous visual streams is a challenging pr...
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06/06/2020
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?
Adversarial attacks on machine learning-based classifiers, along with de...
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05/05/2020
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks
Several real-world applications are characterized by data that exhibit a...
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02/18/2020
Local Propagation in Constraint-based Neural Network
In this paper we study a constraint-based representation of neural netwo...
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02/18/2020
A Lagrangian Approach to Information Propagation in Graph Neural Networks
In many real world applications, data are characterized by a complex str...
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02/11/2020
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach
Human visual attention is a complex phenomenon. A computational modeling...
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11/13/2019
Asynchronous Distributed Learning from Constraints
In this paper, the extension of the framework of Learning from Constrain...
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09/24/2019
Jointly Learning to Detect Emotions and Predict Facebook Reactions
The growing ubiquity of Social Media data offers an attractive perspecti...
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09/06/2019
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances
We consider a scenario where an artificial agent is reading a stream of ...
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09/01/2019
Learning Visual Features Under Motion Invariance
Humans are continuously exposed to a stream of visual data with a natura...
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08/23/2019
Neural Poetry: Learning to Generate Poems using Syllables
Motivated by the recent progresses on machine learning-based models that...
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07/19/2019
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning
In the last few years, neural networks have been intensively used to dev...
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10/17/2018
Coherence Constraints in Facial Expression Recognition
Recognizing facial expressions from static images or video sequences is ...
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08/28/2018
Cognitive Action Laws: The Case of Visual Features
This paper proposes a theory for understanding perceptual learning proce...
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07/14/2018
Motion Invariance in Visual Environments
The puzzle of computer vision might find new challenging solutions when ...
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08/11/2014
Learning to see like children: proof of concept
In the last few years we have seen a growing interest in machine learnin...
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09/29/2009
